- Berlin, Berlin, Germany
- Hybrid
- 3+ years
Own the AI and data layer of the platform, designing and implementing knowledge graph architecture, agentic pipelines, and graph interrogation layers.
Compensation
Control Risks offers a competitively positioned compensation and benefits package that is transparent and summarised in the full job offer. We operate a discretionary global bonus scheme that incentivises, and rewards individuals based on company and individual performance.
Responsibilities
- Design and implement knowledge graph architecture
- Build agentic pipelines that enrich entity data
- Develop graph interrogation layer for compliance queries
- Manage LLM API integrations
- Build and maintain Python-based data ingestion pipelines
Requirements
- Nice to have: Graphiti (Zep AI)
- Nice to have: temporal knowledge graph frameworks
- Nice to have: entity resolution
- Nice to have: NER pipelines
- Nice to have: topic modelling